class_docstr: This ensemble acts as a simple embedder that bypasses all mixers. 
  When called, it will return the encoded representation of the data stored in (or generated by) an EncodedDs object.
code: def __init__(
      self, target, mixers: List[BaseMixer], data: EncodedDs
  ) -> None:
      super().__init__(target, list(), data)
      self.embedding_size = data.get_encoded_data(
          include_target=False
      ).shape[-1]
      self.prepared = True
  
file_path: lightwood/lightwood/ensemble/embed.py
imports: from typing import List
  import pandas
  from lightwood.mixer.base import BaseMixer
  from lightwood.ensemble.base import BaseEnsemble
  from lightwood.api.types import PredictionArguments
  from lightwood.data.encoded_ds import EncodedDs
label_desc: Use image node_id 1 to create a new Embedder object from inherited base classes: BaseEnsemble with example: obj = Embedder(target, mixers, data)